In omarbenites/iskay: R-Shiny package for non-parametric data analysis

The Kruskal-Wallis test is often used as an alternative to the ANOVA where the assumption of normality is not acceptable. It is used to test if k samples (k>2) come from the same population or populations with identical properties as regards a position parameter (the position parameter is conceptually close to the median, but the Kruskal-Wallis test takes into account more information than just the position given by the median).

This nonparametric test is to be used when you have k independent samples, in order to determine if the samples come from a single population or if at least one sample comes from a different population than the others.

W.J. Conover, 1999. Practical Nonparametrics Statistics.

omarbenites/iskay documentation built on May 22, 2019, 8:51 p.m.